Research

Current Projects

My lab currently focuses on theoretical and applied aspects of:

• Inverse Problems using Deep Learning

• Physics-informed Machine Learning

• Adversarial Machine Learning

• Deep Reinforcement Learning

• Distributed Machine Learning

• Nonlinear Imaging and Phase Retrieval

• Autonomous Navigation

• Materials Characterization

• Fast Algorithms for Graph Data Processing

Past Projects

In the past I have also worked on:

• Compressed Sensing

• Manifold-based Signal Processing

• Seismic Data Analysis

• Computational Imaging

• Super-resolution

Acks

My work has been generously supported by the following institutions.